Disciplined self-learner, Committed to learning as much as possible, Affectionate toward analytics.
Projects are also shown below
End-to-end product analytics on Brazil's largest e-commerce marketplace — 15 advanced SQL queries across 99K orders, Portuguese NLP sentiment on 42K reviews, and a 9-page executive Power BI dashboard.
Investigated drop-off between product view and first purchase for a D2C cosmetics store — 20.7M GA4-style events analysed with SQL & Python, visualized in a Power BI dashboard covering funnel, cohort retention, and user segments.
Retrieve, process, and visualize an email corpus from the Sakai open-source project from 2004-2011. Used SQLite to store retrieved data directly into a local database for further analysis and visualization.
Cleaned, analyzed, and visualized a large dataset to identify trends in historical bicycle-sharing company trips. Understanding how casual riders behave differently from riders with paid memberships.
Exploratory data analysis of COVID data from Feb 2020 to Oct 2022 done in Microsoft SQL Server, with insights visualized in Tableau.
I aim to organize data insights so everyone who sees the visualization can understand their implications and how to act on them.